The Deep Learning Performance Modeling Team at NVIDIA is seeking a Deep Learning Software Engineer to develop simulation infrastructure for evaluating AI workloads on GPUs. This role involves collaboration with various teams to enhance deep learning compiler optimizations and assess new GPU hardware advancements. The engineer will focus on improving simulation backends and optimizing datacenter-scale AI workloads. Candidates should be prepared to work in a fast-paced environment and contribute to strategic design decisions.

• A Masters degree in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.
• 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.
• Strong hands-on experience with MLIR and compiler infrastructure.
• Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.
• Strong communication and collaboration skills.

• Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.
• Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.
• Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.
• Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.